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Abstract #1295

Motion-corrected image reconstruction of abdominal DCE-MRI images

Adam Johansson1, James Balter1, and Yue Cao1,2,3

1Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States, 2Department of Radiology, University of Michigan, Ann Arbor, MI, United States, 3Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States

Respiratory motion of abdominal organs causes motion artifacts, blur and signal loss in DCE-MRI images which can confound liver perfusion quantification. To correct for respiratory motion a motion signal derived using rigid-body image registration was used to group acquired data from a golden-angle stack-of-stars sequence into motion states. These were then aligned using deformable image registration and the resulting deformation vector fields were used to deform complex projection images reconstructed from individual spokes. Deformed projections were finally combined using view-sharing into an image time series. The resulting portal-venous input function exhibited a higher signal enhancement and no breathing-induced intensity ripples.

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